CN114548951A

CN114548951A - Power grid infrastructure ledger visualization system and method based on digital twinning technology

Info

Publication number: CN114548951A
Application number: CN202210424095.4A
Authority: CN
Inventors: 李爽
Original assignee: Beijing Xinyiheng Technology Co ltd
Current assignee: Beijing Xinyiheng Technology Co ltd
Priority date: 2022-04-22
Filing date: 2022-04-22
Publication date: 2022-05-27
Anticipated expiration: 2042-04-22
Also published as: CN114548951B

Abstract

The invention discloses a digital twin technology-based power grid infrastructure ledger visualization system and method, belonging to the field of power grid data processing; the data acquisition module acquires power data of power grid infrastructure; the database stores the electric power data acquired by the data acquisition module; the data processing module processes the power data in the database to obtain data of each power grid infrastructure and relevant data of other power grid infrastructures, and the data are stored in the database; and the data visualization module generates a digital twin model according to the data and the associated data so as to visually display the power data and the interconnection relation of the power grid infrastructure to a user. According to the scheme, the electric power data of the power grid infrastructure can be automatically screened and displayed to the user in a digital twin model mode. The method is visual and vivid and can quickly obtain the electric power data of the related power grid infrastructure.

Description

Power grid infrastructure ledger visualization system and method based on digital twinning technology

Technical Field

The invention relates to the field of power grid data processing, in particular to a power grid infrastructure ledger visualization system and method based on a digital twin technology.

Background

Data related to infrastructure of current power grid operation are recorded in different systems and a large number of electronic forms and documents in a scattered mode, query data mainly depend on manual screening, efficiency is low, and faults or accidents are difficult to respond in time.

Disclosure of Invention

In order to overcome the defects of the prior art, the invention provides a power grid infrastructure ledger visualization system and method based on a digital twin technology, and aims to solve the problems that data of the existing power grid running infrastructure is isolated, the efficiency of inquiring data is low, and faults or accidents are difficult to respond in time.

The technical scheme adopted by the invention for solving the technical problems is as follows:

on the one hand, the method comprises the following steps of,

a power grid infrastructure ledger visualization system based on a digital twinning technique comprises:

the data acquisition module is used for acquiring the power data of the power grid infrastructure;

the database is used for storing the electric power data acquired by the data acquisition module;

the data processing module is used for processing the power data in the database to obtain the data of each power grid infrastructure and the associated data of other power grid infrastructures and storing the data in the database;

and the data visualization module is used for generating a digital twin model according to the data and the associated data in the database so as to visually display the power data of the power grid infrastructure and the mutual connection relation to users.

Further, the data acquisition module comprises:

the first data acquisition unit is used for acquiring electronic document data;

and the second data acquisition unit is used for acquiring non-electronic document data.

Furthermore, the first data acquisition unit acquires electronic document data through an office automation tool.

Further, the data processing module comprises:

the first API interface is used for calling the power data acquired by the data acquisition module from the database;

the data preprocessing unit is used for preprocessing the power data called by the first API interface, and the preprocessing comprises at least one of the following processing modes: word segmentation, feature representation, feature extraction, counting, statistics and judgment;

and the clustering and classifying unit is used for clustering and classifying the electric power data preprocessed by the data preprocessing unit to obtain the data of each power grid infrastructure and the associated data of other power grid infrastructures.

Further, the data visualization module includes:

the second API is used for calling the electric power data processed by the data processing module from the database;

and the visualization unit is used for displaying the power data called by the second API in the form of a digital twin model and a chart.

On the other hand, in the case of a liquid,

a power grid infrastructure ledger visualization method based on a digital twinning technology comprises the following steps:

obtaining power data for each grid infrastructure, the power data including data of the grid infrastructure itself and data associated with other grid infrastructures;

and generating a digital twinning model according to the self data and the associated data through a digital twinning technology.

Further, the obtaining power data of each grid infrastructure includes:

acquiring electronic document data through an office automation tool and/or acquiring non-electronic document data through an API (application program interface);

storing the acquired data in a database;

and acquiring the power data of each power grid infrastructure through the database.

Further, the obtaining the power data of each power grid infrastructure through the database includes:

pre-processing the power data within the database, the pre-processing including at least one of: word segmentation, feature representation, feature extraction, counting, statistics and judgment;

and clustering and classifying the preprocessed data to obtain the data of each power grid infrastructure and the associated data of other power grid infrastructures.

Further, the clustering and classifying the preprocessed data to obtain the data of each grid infrastructure and the associated data with other grid infrastructures includes:

at least one dimension from: clustering and classifying data by comprehensive situation, emergency treatment, key equipment, auxiliary strategies and complaint early warning;

the comprehensive situation dimension comprises the power supply load, the normal threshold and the detailed equipment information of each line;

the emergency processing dimension comprises equipment alarm information, equipment detailed information, line alarm information and line detailed information;

the auxiliary decision and complaint early warning dimensions comprise equipment fault statistics, power loss statistics and early warning threshold values.

Further, the generating a digital twinning model from the self data and the associated data by a digital twinning technique includes:

constructing a framework model of the power grid infrastructure according to the associated data;

and adding the self data of each power grid infrastructure into the corresponding power grid infrastructure in the frame model to obtain a digital twin model.

Has the advantages that:

the technical scheme of the application provides a power grid infrastructure ledger visualization system and method based on a digital twinning technology, wherein a data acquisition module acquires power data of a power grid infrastructure; the database stores the electric power data acquired by the data acquisition module; the data processing module processes the power data in the database to obtain data of each power grid infrastructure and relevant data of other power grid infrastructures, and the data are stored in the database; and the data visualization module generates a digital twin model according to the data and the associated data so as to visually display the power data and the interconnection relation of the power grid infrastructure to a user. According to the scheme, the electric power data of the power grid infrastructure can be automatically screened and displayed to the user in a digital twin model mode. The method is visual and vivid and can quickly obtain the electric power data of the related power grid infrastructure.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.

Fig. 1 is a schematic structural diagram of a power grid infrastructure ledger visualization system based on a digital twin technology according to an embodiment of the present invention;

fig. 2 is a schematic structural diagram of a specific power grid infrastructure ledger visualization system based on a digital twin technology according to an embodiment of the present invention;

fig. 3 is a flowchart of a power grid infrastructure ledger visualization method based on a digital twin technology according to an embodiment of the present invention;

fig. 4 is a schematic diagram of a power grid infrastructure ledger visualization method based on a digital twin technology according to an embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention more apparent, the following detailed description of the technical solutions of the present invention is provided with reference to the accompanying drawings and examples. It is to be understood that the embodiments described are only a few embodiments of the present application and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the examples given herein without making any creative effort, shall fall within the protection scope of the present application.

Referring to fig. 1, an embodiment of the present invention provides a power grid infrastructure ledger visualization system based on a digital twin technology, including:

the data acquisition module 10 is used for acquiring the power data of the power grid infrastructure;

the database 20 is used for storing the power data acquired by the data acquisition module 10;

a data processing module 30, configured to process the power data in the database 20 to obtain own data of each grid infrastructure and associated data with other grid infrastructures;

and the data visualization module 40 is used for generating a digital twin model according to the own data and the associated data in the database so as to visually display the power data of the power grid infrastructure and the mutual connection relation to users.

According to the power grid infrastructure ledger visualization system based on the digital twinning technology, provided by the embodiment of the invention, a data acquisition module acquires power data of a power grid infrastructure; the database stores the electric power data acquired by the data acquisition module; the data processing module processes the power data in the database to obtain data of each power grid infrastructure and relevant data of other power grid infrastructures, and the data are stored in the database; and the data visualization module generates a digital twin model according to the data and the associated data so as to visually display the power data and the interconnection relation of the power grid infrastructure to a user. According to the scheme, the electric power data of the power grid infrastructure can be automatically screened and displayed to the user in a digital twin model mode. The method is visual and vivid and can quickly obtain the electric power data of the related power grid infrastructure.

As shown in fig. 2, as a supplementary description of the above embodiment, the data acquisition module 10 includes:

the first data acquisition unit 11 is used for acquiring electronic document data; the first data acquisition unit 11 acquires electronic document data through an office automation tool. The electronic document data comprises data in an electronic form and a document; office automation tools may employ xlwt, xlrd, os, etc. in Python.

And the second data acquisition unit 12 is used for acquiring non-electronic document data. The second data acquisition unit 12 acquires non-electronic document data through the API interface and transmits the acquired power data to the database. The non-electronic document class data source is a related system, platform or sensor.

Optionally, the data processing module 30 comprises:

a first API interface 31, configured to call the power data collected by the data collection module 10 from the database 20;

the data preprocessing unit 32 is configured to preprocess the power data called by the first API interface 31, where the preprocessing includes at least one of the following processing modes: word segmentation, feature representation, feature extraction, counting, statistics and judgment;

and the clustering and classifying unit 33 is used for clustering and classifying the electric power data preprocessed by the data preprocessing unit to obtain the data of each power grid infrastructure and the associated data of other power grid infrastructures.

The data processing module 30 stores the processed power data in the database 10.

It should be noted that, clustering and classification are specific to the specific application of the service, and the general power can be divided into: the comprehensive situation, emergency treatment, auxiliary strategy, key equipment, complaint early warning and the like are provided, and the data concerned respectively are as follows:

comprehensive situation: power supply load, normal threshold, equipment detailed information, etc. of each line;

attention is paid to emergency treatment: equipment alarm information, equipment detailed information, line alarm information, line detailed information and the like; auxiliary decision and complaint early warning: equipment fault statistics, power loss statistics, early warning threshold values and the like;

optionally, the data visualization module 40 includes:

a second API interface 41, configured to call, from the database 10, the power data processed by the data processing module 30;

and the visualization unit 42 is used for displaying the power data called by the second API interface 41 in the form of a digital twin model and a chart.

According to the specific power grid infrastructure ledger visualization system based on the digital twinning technology, data are uniformly managed and analyzed by the system, and manual repeated labor is not needed. And equipment information is searched, so that the method is quick and visual. The data acquisition module and the data visualization module acquire data from the database through the API (application programming interface) instead of directly calling the data of the previous module, so that the condition that the whole system is crashed due to paralysis of a certain module is avoided, and the stability of the system is enhanced. The whole system is divided into four parts, namely a data acquisition module, a data processing module, a data visualization module and a database, and is modularized and convenient to maintain and repair. The visualization unit comprises current mainstream visualization tools such as non Engine and Echarts, and the data visualization effect is guaranteed. The data processing module firstly preprocesses the data and then carries out clustering and classification, thereby enhancing the processing effect and improving the quality of the data.

In one embodiment, as shown in fig. 3, the present invention provides a grid infrastructure ledger visualization method based on a digital twin technology, including the following steps:

s11: obtaining power data for each grid infrastructure, the power data including data of the grid infrastructure itself and data associated with other grid infrastructures;

specifically, electronic document data is acquired through an office automation tool and/or non-electronic document data is acquired through an API (application programming interface); storing the acquired data in a database; and acquiring the power data of each power grid infrastructure through the database.

Wherein, obtain the electric power data of every power grid infrastructure through the database, include: pre-processing the power data within the database, the pre-processing including at least one of: word segmentation, feature representation, feature extraction, counting, statistics and judgment; and clustering and classifying the preprocessed data to obtain the data of each power grid infrastructure and the associated data of other power grid infrastructures.

Clustering and classifying from at least one of the following dimensions: clustering and classifying data by comprehensive situation, emergency treatment, key equipment, auxiliary strategies and complaint early warning; the comprehensive situation dimension comprises the power supply load, the normal threshold and the detailed equipment information of each line; the emergency processing dimension comprises equipment alarm information, equipment detailed information, line alarm information and line detailed information; the auxiliary decision and complaint early warning dimensions comprise equipment fault statistics, power loss statistics and early warning threshold values. The electric power data are classified according to a plurality of different dimensions, so that the data of the corresponding dimensions can be directly checked when faults happen, and the response can be quicker.

S12: and generating a digital twinning model according to the self data and the associated data through a digital twinning technology. Specifically, a frame model of the power grid infrastructure is constructed according to the associated data; and adding the self data of each power grid infrastructure into the corresponding power grid infrastructure in the frame model to obtain a digital twin model.

The implementation principle logic is shown in fig. 4, wherein a digital twin model is generated from the device/line status (corresponding to the associated data), and when the user wants to query, the user only needs to click the basic setting of the corresponding position, so that the device/line details (corresponding to the data of the user) can be queried on the UI interface.

According to the power grid infrastructure ledger visualization method based on the digital twinning technology, the existing data island is connected to a designed database in an office automation extraction and API (application program interface) acquisition mode, then overall cleaning, statistics, analysis, logic judgment and other operations are carried out on the data, the data are built in a digital world and data model and kept synchronous, and detailed information and states of actual physical world line nets and equipment needing to be known are selected through free interaction of a digital platform. The method has the advantages that data are managed and analyzed uniformly by the system, manual repeated labor is not needed, and equipment information is searched quickly and visually.

It is understood that the same or similar parts in the above embodiments may be mutually referred to, and the same or similar parts in other embodiments may be referred to for the content which is not described in detail in some embodiments.

It should be noted that, in the description of the present application, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Further, in the description of the present application, the meaning of "a plurality" means at least two unless otherwise specified.

Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps in the process, and alternate implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present application.

It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used.

It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.

In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.

The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.

In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.

Claims

1. A power grid infrastructure ledger visualization system based on a digital twinning technique is characterized by comprising:

2. The system of claim 1, wherein: the data acquisition module comprises:

the first data acquisition unit is used for acquiring electronic document data;

3. The system of claim 2, wherein: the first data acquisition unit acquires electronic document data through an office automation tool.

4. The system of claim 1, wherein: the data processing module comprises:

5. The system of claim 1, wherein: the data visualization module comprises:

6. A power grid infrastructure ledger visualization method based on a digital twinning technology is characterized by comprising the following steps:

7. The method of claim 6, wherein: the acquiring of the power data of each power grid infrastructure includes:

storing the acquired data in a database;

8. The method of claim 7, wherein: the obtaining of the power data of each grid infrastructure through the database includes:

9. The method of claim 8, wherein: clustering and classifying the preprocessed data to obtain data of each power grid infrastructure and associated data of other power grid infrastructures, wherein the clustering and classifying method comprises the following steps:

10. The method of claim 6, wherein: the generating of the digital twinning model according to the self data and the associated data through the digital twinning technology comprises the following steps: